Information-Theoretic Limits of Safety Verification for Self-Improving Systems
Information-Theoretic Limits of Safety Verification for Self-Improving Systems explores Establishes theoretical limits on safety verification for self-improving AI systems, demonstrating a fundamental trade-off between bounded risk and unbounded utility.. Commercial viability score: 3/10 in AI Safety.
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